Multivariate, Multi-omic Analysis in 799,429 Individuals Identifies 134 Loci Associated with Somatoform Traits

C. N. Davis, S. Toikumo, A. Hatoum, Y. Khan, B. K. Pham, S. Pakala, K. L. Feuer, J. Gelernter, S. Sanchez-Roige, R. Kember, H. Kranzler
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Abstract

Somatoform traits, which manifest as persistent physical symptoms without a clear medical cause, are prevalent and pose challenges to clinical practice. Understanding the genetic basis of these disorders could improve diagnostic and therapeutic approaches. With publicly available summary statistics, we conducted a multivariate genome-wide association study (GWAS) and multi-omic analysis of four somatoform traits (fatigue, irritable bowel syndrome, pain intensity, and health satisfaction) in 799,429 individuals genetically similar to Europeans. Using genomic structural equation modeling, GWAS identified 134 loci significantly associated with a somatoform common factor, including 44 loci not significant in the input GWAS and 8 novel loci for somatoform traits. Gene-property analyses highlighted an enrichment of genes involved in synaptic transmission and enriched gene expression in 12 brain tissues. Six genes, including members of the CD300 family, had putatively causal effects mediated by protein abundance. There was substantial polygenic overlap (76-83%) between the somatoform and externalizing, internalizing, and general psychopathology factors. Somatoform polygenic scores were associated most strongly with obesity, Type 2 diabetes, tobacco use disorder, and mood/anxiety disorders in independent biobanks. Drug repurposing analyses suggested potential therapeutic targets, including MEK inhibitors. Mendelian randomization indicated potentially protective effects of gut microbiota, including Ruminococcus bromii. These biological insights provide promising avenues for treatment development.
对 799,429 人进行的多变量、多基因组分析确定了 134 个与躯体变形特征相关的基因位点
躯体形式特征表现为无明确医学原因的持续性躯体症状,这种特征很普遍,给临床实践带来了挑战。了解这些疾病的遗传基础可以改进诊断和治疗方法。利用公开的汇总统计数据,我们对 799,429 名与欧洲人基因相似的个体进行了一项多变量全基因组关联研究(GWAS),并对四种躯体形式特征(疲劳、肠易激综合征、疼痛强度和健康满意度)进行了多组分析。利用基因组结构方程建模,全球基因组分析发现了 134 个与躯体形式共同因素显著相关的基因位点,其中包括 44 个在输入全球基因组分析中不显著的基因位点和 8 个与躯体形式特征相关的新基因位点。基因特性分析突出显示了参与突触传递的基因的富集和 12 种脑组织中基因表达的富集。包括 CD300 家族成员在内的 6 个基因具有由蛋白质丰度介导的假定因果效应。躯体形式与外化、内化和一般精神病理学因素之间存在大量的多基因重叠(76-83%)。在独立的生物库中,躯体形式多基因得分与肥胖、2型糖尿病、烟草使用障碍和情绪/焦虑障碍的关联性最强。药物再利用分析提出了潜在的治疗目标,包括MEK抑制剂。孟德尔随机分析表明,包括溴化反刍球菌在内的肠道微生物群具有潜在的保护作用。这些生物学见解为治疗方法的开发提供了前景广阔的途径。
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